IMPACT OF CAPITAL MARKET IMPERFECTION ON INVESTMENT- … · Market imperfection is measured through...

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© 2017 CURJ, CUSIT 264 City University Research Journal Special Issue: AIC, Malaysia PP 264-275 IMPACT OF CAPITAL MARKET IMPERFECTION ON INVESTMENT- CASH FLOW SENSITIVITY: EVIDENCE FROM PAKISTANI LISTED MANUFACTURING FIRMS Muhammad Kashif Government Degree College Khurrianwala Faisalabad, Pakistan MS Finance NUML Islamabad, Faisalabad Campus, Pakistan [email protected] Muhammad Kashif Khurshid National University of Modern Languages (NUML) Islamabad, Faisalabad Campus, Pakistan [email protected] (Corresponding Author) Muhammad Waqas BZU Multan, Sahiwal Campus, Pakistan [email protected] Muhammad Sajid Government Post Graduate College Toba Tek Singh, Pakistan MS Finance NUML Islamabad, Faisalabad Campus, Pakistan [email protected] Imtaz Zahid Government Islamia College Faisalabad, Pakistan [email protected] Abstract This study is related to test the impact of capital market imperfection on investment-cash flow sensitivity of 137 Pakistani non-financial manufacturing firms listed in the Karachi Stock Exchange (KSE) during the span 2005-2014. Such impact is examined twice, firstly without capital market imperfection and secondly in the presence of capital market imprecation. Market imperfection is measured through the use of three proxies such as firm size, firm liquidity and number of shares held by institutions. Cash flow and Tobin’s Q are taken as predictors. A panel data regression is used to investigate the relation of capital market imperfection on investment-cash flow sensitivity. In case of without capital market imperfection, the impact of cash flow on investment is affirmative and significant while the presence of market imperfection such impact of cash flow on investment is also affirmative and momentous with higher sensitivity under all three proxies used for measurement of capital market imperfection. These results indicate that when market is imperfect a large number of firms rely mostly on internally generated cash flow. Keywords: Cash Flow, Tobin’s Q, Investment, Market Imperfection Under Proxy Of (Firm Size, Firm Liquidity and Institutional Ownership. 1. Introduction

Transcript of IMPACT OF CAPITAL MARKET IMPERFECTION ON INVESTMENT- … · Market imperfection is measured through...

  • © 2017 CURJ, CUSIT 264

    City University Research Journal Special Issue: AIC, Malaysia PP 264-275

    IMPACT OF CAPITAL MARKET IMPERFECTION ON INVESTMENT-

    CASH FLOW SENSITIVITY: EVIDENCE FROM PAKISTANI LISTED

    MANUFACTURING FIRMS

    Muhammad Kashif

    Government Degree College Khurrianwala Faisalabad, Pakistan

    MS Finance NUML Islamabad, Faisalabad Campus, Pakistan

    [email protected]

    Muhammad Kashif Khurshid

    National University of Modern Languages (NUML) Islamabad, Faisalabad Campus, Pakistan [email protected] (Corresponding Author)

    Muhammad Waqas

    BZU Multan, Sahiwal Campus, Pakistan

    [email protected]

    Muhammad Sajid

    Government Post Graduate College Toba Tek Singh, Pakistan

    MS Finance NUML Islamabad, Faisalabad Campus, Pakistan

    [email protected]

    Imtaz Zahid

    Government Islamia College Faisalabad, Pakistan

    [email protected]

    Abstract

    This study is related to test the impact of capital market imperfection on investment-cash flow sensitivity

    of 137 Pakistani non-financial manufacturing firms listed in the Karachi Stock Exchange (KSE) during the span 2005-2014. Such impact is examined twice, firstly without capital market imperfection and secondly

    in the presence of capital market imprecation. Market imperfection is measured through the use of three

    proxies such as firm size, firm liquidity and number of shares held by institutions. Cash flow and Tobin’s

    Q are taken as predictors. A panel data regression is used to investigate the relation of capital market imperfection on investment-cash flow sensitivity. In case of without capital market imperfection, the

    impact of cash flow on investment is affirmative and significant while the presence of market imperfection

    such impact of cash flow on investment is also affirmative and momentous with higher sensitivity under all three proxies used for measurement of capital market imperfection. These results indicate that when market

    is imperfect a large number of firms rely mostly on internally generated cash flow.

    Keywords: Cash Flow, Tobin’s Q, Investment, Market Imperfection Under Proxy Of (Firm Size, Firm Liquidity and Institutional Ownership.

    1. Introduction

    mailto:[email protected]

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    In order to fulfill the needs of stakeholders it is indispensable for a firm to put in the amount available in those projects having positive net present value and cost effective activities, invest the amount in present day which

    is bound to bring growth in near future. The payment attain will be definitely greater than the present amount. For future survival and better flourishing chance, it’s inevitable to invest today to reap fruitful monetary and the activities

    whose costs are comparatively low.

    In the whole world, if the growth of investment and rate of growth of production is high and rapid moving,

    it brings in its wake a many positive aspects. Eventually, it enhances our foreign reserves which strengthens and

    stabilize the currency value and rate and this rate of currency guarantees the prestige of a country at world level and

    provides it a vigorous financial and economic substance. Keeping in view the importance and value of investment,

    various researchers have opted time and again the investment as a vital factor and endeavored to capture in different

    spectrum and content, the various areas of finance and economic. Modigliani and Miller (1958) argued that funds,

    whether internal and external, have no effect at all on investment decisions of a firm in perfect investment market.

    The investing decisions of a firm are self-regulating to its financing decisions. Its reason is that the capital market is

    free from asymmetric information, bankruptcy, agency problems, and transaction cost and tax implementation.

    Myers and Majluf (1984) concluded that information asymmetries among a firm and the investment market

    imperfections may consequence in the refusal of well again investment opportunities because the supplier of external

    finance includes the risk premium into the cost of funds that represented the risk of common investment projects. So

    the supplies of funds flow for the investment decisions are not perfectly elastic for the firms that faced the issues to

    access the information about the investment.

    Transaction cost has two main parts. Its first part is the cost which is paid to brokers to introduce and issuance

    of security. Its second part consists of the amount of money which is required to be incurred as lawful expenses. It

    includes the cost of printing as well as registering and taxes on issuing of new securities. Miller (1977) building their

    argument on the analysis of (Black & Scholes, 1973) opined that the tax shield benefit of money owing is offset by individual tax rate on investor’s money owing income. Kraus and Litzenberger (1973) argued that the benefit of tax

    reduction can be eliminated due to bankruptcy cost. It is particular according to context of optimal capital structure

    theory. They opined the crucial situation is, therefore, the agent either to work in his own interest to maximize the

    profit in order to get benefit in shape of rewords, bounces and good repute in laborer and investment market or the

    best interest of stakeholders to maximize the market value of organization and maximize the wealth of stakeholders.

    Myers and Majluf (1984) opposed the theory of (Modigliani & Miller, 1958) by stating that it is impossible

    to find a perfect market in real situation. They also concluded that due to the availability of asymmetric information,

    transaction cost, cost of taxes, bankruptcy cost and agency cost preferences changes as per needs of finance and

    situation of decision.

    1.1 Capital Market Imperfection

    Although it was opined by (Modigliani & Miller, 1958) that the financing decisions in perfect investment

    market do not affect at all the investment decisions of firms. But, the above mentioned facts and figures have proved

    that it amply that capital market is not perfect and present imperfections brings before as a great differentiation among

    the cost of inside and external capital. The firms which are having asymmetric information face a large gap, therefore,

    they are in grip of more financial restraints. According to the Kaplan and Zingales (1997a) due to financial constraints

    the companies are classified into three categories, the organizations that facing the problems of financial constraints,

    the organizations possibly facing the problems of financial constraints and the organizations without the problems of

    financial constraints. According to the first group the influential work of (Fazzari et al., 1988) opined that the relationship among the investment and internal sources was very severe in the organizations which are facing the

    problems of financial constraints at the time of their investing decisions. The other school of thought (Modigliani &

    Miller, 1958) opined that the association among the sources of firm to investment is lesser for the organizations facing

    the problems of financial constraints. (Koo & Maeng, 2005) concluded that many studies proposed the investment of

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    the firm depends upon the accessibility of inside funds. Because the firm faced constraints of finance due to the higher

    cost of outside resources as compared to internal finances in investment market that is imperfect.

    1.2 Relationship of Investment Among the Cash Flow in Imperfect Capital Market

    In presence of imperfection of capital markets, larger differential costs are facing by firms between external

    and internal funds should more rigorously affect by problems of underinvestment when practicing negative stuns to

    internal cash. Therefore, firms that are more constrained demonstrates greater sensitivity of cash flow in investment

    (Allayannis & Mozumdar, 2004). Fazzari et al. (1988) explained that the firms which have a high level of monetary,

    association among the investment to cash flow is more sensitive. But Kaplan and Zingales (1997b) and (Cleary, 1999)

    have another view point, they believe that investment relationship among the cash flow can be greater in those firms

    which are not restricted. Along with it, (Alti, 2003; Gilchrist & Himmelberg, 1995) opined that the sensitivity of investment problem associated with Tobin’s Q. According to Gomes (2001) and Alti (2003) there is a vital possibility

    that even in the non-existence of financial frictions, investment relationship among the cash flow can be existed. Alti

    (2003) is of the view that in the nonexistence of financial restrictions, the firms which are small and comparatively

    new faced higher degree of sensitivity among investment and cash flow. Froot and Stein (1991) proposed the

    association between the swap rates and foreign direct investment that occurred when worldwide incorporated market

    of capital was matter to imperfections in information. The presence of these imperfections the financing from external

    sources to be more expensive as compared to financing from internal sources. In that situation it is concluded that the

    association among the investment to cash flow was elevated as compared to normal situation.

    1.3 Problem Statement

    The firm’s investment decisions are not prejudiced by their decisions of financing in a perfect capital market,

    which is a theory propounded by (Modigliani & Miller, 1958). The factors becoming cause of imperfection existing

    in the market are asymmetric information, agency cost, and transaction cost, according to (Myers & Majluf, 1984).

    These imperfections produced financial restrictions and introduced a wedge among the costs of outer and inner

    resources. Now, the question arises either these imperfections have any influence on the investment relationship

    among the cash flow. The main question arising leads to the point how do the institutional ownership, size of firm and

    liquidity of firm influence the investment-cash flow relationship among the listed manufacturing firms in Karachi

    Stock Exchange.

    1.4 Research Questions

    • Do capital market imperfections have any impact on the relationship among the investment to cash flow under the proxy of size of firm?

    • Do capital market imperfections have any impact on the relationship among the investment to cash flow under the proxy of liquidity of firm?

    • Do capital market imperfections have any impact on the relationship among the investment to cash flow under the proxy of institutional ownership?

    2. Literature Review

    In US manufacturing firm, with relation to market imperfection, five factors i.e. institutional ownership,

    bonds rating, analyst following, funds flow and index of antitakeover amendments were examined. It was evaluated

    that in the estimated sensitivity over time, there was a steady decline. It was also scrutinized that with the increase of

    institutional ownership, funds flow, bonds rating, index of antitakeover amendments and analyst following, there is a turn down in investment sensitivity to cash flow (Ağca & Mozumdar, 2008). According to the (Fazzari et al., 1988)

    for the profitability of an organization, cash flow play an imperative function in this regards. So, they argued the

    position of funds flow in the organization’s investment decisions is very vital even in the perfect capital market.

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    According to Adelegan and Ariyo (2008) in general small size firms faces more compassion among the insider funds

    to investment because their managers have low creditworthiness as a results these firms were charged higher cost of

    external funds. So, the small size firm’s investments decisions are extra responsive to the cash flow as compared to large size organizations. The other school of thought (Adelegan & Ariyo, 2008) argued that the firm size has no

    impact on the firm’s investing decisions. It was evaluated that possession of cash was positively connected with

    investment opportunities. Furthermore, cash ratio was positively affiliated with manufacturing cash flow

    precariousness while negatively influenced by capital expenditure, net working capital, leverage, age size and tax

    expenses (Μαγεράκης, 2015).

    Findings illustrate that between investment sensitivity to cash flow and debt have inverse relationship. While,

    it is scrutinized that there is momentous relationship between the firm size and investment is positive if cash flow is

    there. Furthermore, the liquidity of company and investment relationship to cash flow is affirmative and significant

    (Jafari et al., 2015). It is examined that there is significant cash flow investment sensitivity. Other factors that affect

    the cash flow sensitivity positively and significantly are size, investment opportunity, tangibility of firm, dividend and

    debt level (Chyi & Tien, 2014).

    Association among the investment and funds flow of firms listed in China was reexamined in this study with

    the error measure of being controlled Tobin's Q. The result expresses that investment is responsive to the flow of cash

    still when error measure of Tobin's Q is controlled. But, it was scrutinized that firms that less constrained firms

    financially demonstrate elevated relationship of investment and inside sources of the firm than those categorized as

    more embarrassed firms financially. Aggarwal and Zong (2006) described complete and efficient financial markets,

    and state that cash flows from internal sources should have no effect on levels of investment; but in incomplete and

    inefficient markets, theory of pecking order argues that there should affirmative association exist. Hu and Schiantarelli

    (1998) have developed switching investment regression model in which firm’s probability facing high external finance

    premium is endogenously examined. Hu and Schiantarelli (1998) have developed switching investment regression

    model in which firm’s probability facing high external finance premium is endogenously examined. This approach permits one to deal with potential problem of dynamic and static encountered misclassification where firms are

    arranged employing criteria chosen priori. U.S. firm level data was employed to scrutinize impacts of variables that

    capture credit worthiness of each firm, information asymmetry and conflicts of interest between agent and principal

    on probability of being in the low- or highly paid administration. The macroeconomic conditions role and monetary

    policy is also determined. Results have confirmed the hypothesis.

    Senbet and Taggart (1984) have generalized Miller's equilibrium of supply-side discussion to other

    imperfections of investment market forms and incompleteness. If organizations hold comparative benefit in taking

    into consideration these imperfections, they have encouragement to proceed as mediators of finance. Attempts to

    corporations to yield from these activities of intermediation state optimal capital structure for sector of corporate

    completely but in capital structure’s equilibrium of any particular firm is indifference matter. Moreover, positive

    position that corporate finance acts in implementation market restores perfect standard market consequences on pricing of asset and linked separation properties of portfolio. Koo and Maeng (2005) demonstrated that many studies

    proposed that investments of firms depend upon the internal funds availability. Firms’ countenance constraints of

    finance due to external funds are pricier than internal funds in capital markets that are imperfect. Nucci and Pozzolo

    (2001), investigated the association between decisions of investment and fluctuations of exchange rate in the

    manufacturing firms of Italy. The results supported the view that exchange rate depreciation has positive influence on

    investment through channel of returns, and pessimistic influence through channel of cost.

    3. Research Methodology This study is based on different phases which included assembling of data and then arrangement of such data

    in order to conduct proper analysis. At the beginning 150 firms have chosen for this study and after the process perusal

    and filtration, the data was confined and finalized to 137 manufacturing firms. In the period of 2005 to 2014, many

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    manufacturing firms are de-listed, combined and wind up. These firms are put out from the focus of study and only

    the firms are chosen, whose ten year’s data from 2005 to 2014 was available. The data which is used in this study for

    the calculation of variables, which is obtained from a firm one by one present at BSA, the equity of market value is derived from business recorder. The numbers of share held by institutions are available at open doors for all. The

    model which is used in this study had already been used by (Athey & Reeser, 2000; Degryse et al., 2005; Kadapakkam

    et al., 1998). Panel data which is used, related 137 manufacturing firms, for a span of ten years.

    Econometric Model

    General Model

    𝟏) 𝑰𝒊𝒕 = 𝜶𝒊 + 𝜷𝟏𝑸

    𝒊𝒕−𝟏 +𝜷

    𝟐𝑪𝑭

    𝒊𝒕 +𝜺𝒊𝒕

    𝐼𝑖𝑡 = 𝑁𝐹𝐴𝑖𝑡 + 𝐷𝐸𝑃𝑖𝑡 − 𝑁𝐹𝐴𝑖𝑡−1

    𝑁𝐹𝐴𝑖𝑡−1

    𝑄𝑖𝑡−1

    = 𝑀𝑉𝐸𝑖𝑡−1+ 𝐵𝑉𝐷𝑖𝑡−1

    𝐵𝑉𝑇𝐴𝑖𝑡−1

    𝐶𝐹𝑖𝑡 = 𝑁𝐼𝑖𝑡 + 𝐷𝐸𝑃𝑖𝑡

    𝑁𝐹𝐴𝑖𝑡−1

    Where

    𝐼𝑖𝑡= Investment in fixed assets.

    𝐶𝐹𝑖𝑡= Cash flow

    𝑄𝑖𝑡

    = Tobin's Q.

    𝑀𝑉𝑖𝑡 = Market value of business.

    𝐵𝑉𝑖𝑡 = Book value of the business.

    𝑁𝐹𝐴𝑖𝑡 = Net Fixed Assets.

    𝑁𝐼𝑖𝑡 = Net Income

    𝐷𝐸𝑃𝑖𝑡 = Depreciation on fixed assets during current period.

    𝛼𝑖= Alpha.

    𝛽1= Coefficient of Tobin’s Q

    𝛽2

    = Coefficient of cash flow

    i = Represents firm i, i= 137

    t = the current time period at the closing of year.

    𝑡−1= The start of the present year.

    𝜀𝑖𝑡 = Unexplained portion of model

    Specific Model with Capital Market Imperfection

    2) 𝑰𝒊𝒕 = 𝜶𝒊 + 𝜷𝟏𝑸

    𝒊𝒕−𝟏 + 𝜷

    𝟐(𝑪𝑭𝒊𝒕 × 𝑭𝒂𝒄𝒕𝒐𝒓𝒔) + 𝜺𝒊𝒕

    𝐼𝑖𝑡 = 𝑁𝐹𝐴𝑖𝑡 + 𝐷𝐸𝑃𝑖𝑡 − 𝑁𝐹𝐴𝑖𝑡−1

    𝑁𝐹𝐴𝑖𝑡−1

    𝑄𝑖𝑡−1

    = 𝑀𝑉𝐸𝑖𝑡−1+ 𝐵𝑉𝐷𝑖𝑡−1

    𝐵𝑉𝑇𝐴𝑖𝑡−1

    𝐶𝐹𝑖𝑡 = 𝑁𝐼𝑖𝑡 + 𝐷𝐸𝑃𝑖𝑡

    𝑁𝐹𝐴𝑖𝑡−1

    Where

    𝐼𝑖𝑡= Investment in fixed assets.

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    𝐶𝐹𝑖𝑡= Cash flow

    𝑄𝑖𝑡

    = Tobin's Q.

    𝑀𝑉𝑖𝑡 = Market value of business.

    𝐵𝑉𝑖𝑡 = Book value of the business.

    𝑁𝐹𝐴𝑖𝑡 = Net Fixed Assets.

    𝑁𝐼𝑖𝑡 = Net Income

    𝐷𝐸𝑃𝑖𝑡 = Depreciation on fixed assets during current period.

    𝛼𝑖= Alpha.

    𝛽1= Coefficient of Tobin’s Q

    𝛽2

    = Coefficient of cash flow

    i = Represents firm i, i= 137 t = the current time period at the closing of the year.

    𝑡−1= The start of the current year.

    𝜀𝑖𝑡 = Unexplained portion of model

    Where 𝐼𝑖𝑡 represent investment 𝐶𝐹𝑖𝑡 represent cash flow during period t, correspondingly; (𝑪𝑭𝒊𝒕 * Factors) are the interactions the factors with cash flow connected to investment market imperfections. The factors measured are: firm

    size (CF * Size), firm liquidity (CF * firm liquidity), institutional ownership (CF * IO).

    𝑰𝒊𝒕 = Represent the amount of investment of a firm on permanent assets just like machinery and equipment, furniture and fixture, land and building firm i during time t. It is calculated with the help of net fixed assets at the end of year

    add depreciation after that deduct the amount of book value of permanent assets at start of the year and then divided

    by net permanent assets at the start of the year.

    𝑸𝒊𝒕−𝟏

    = It is the Q (Tobin’s Q) at the start of the year shows the investment opportunities. The Q (Tobin’s Q) is

    measured by taken the market value of equity after that add book value of debt and divided by book value of total

    assets (book value of firm). Its effect is captured through 𝛽1.

    𝑪𝑭𝒊𝒕= represent the Cash flow of present year. It is calculated as net profit after tax addition of depreciation after that it was divided by net fixed assets at the start of the year.

    𝑪𝑭𝒊𝒕 × 𝑭𝒂𝒄𝒕𝒐𝒓 = represents the interactions of factors with cash flow. The factors are considered as firm size, firm liquidity, and institutional ownership. Its effect is captured through 𝛽2.

    Firm Size: It is measured through the natural log of total assets possessed by the firms.

    Firm Liquidity: It is measured through the natural log of firm liquidity (cash, cash at bank, marketable securities and

    short term notes receivable).

    Institutional Ownership: It is premeditated as the natural log of the total shares held by the institutions.

    3.1 Hypotheses of the Study

    Hypothesis 1

    H0: There is no significant association of capital market imperfection on investment-cash flow sensitivity under the

    proxy of firm size.

    H1: There is significant association of capital market imperfection on investment-cash flow sensitivity under the proxy

    of firm size.

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    Hypothesis 2

    H0: There is no significant association of capital market imperfection on investment-cash flow sensitivity under the

    proxy of firm liquidity. H1: There is significant association of capital market imperfection on investment-cash flow sensitivity under the proxy

    of firm liquidity.

    Hypothesis 3

    H0: There is no significant association of capital market imperfection on investment-cash flow sensitivity under the

    proxy of institutional ownership.

    H1: There is significant association of capital market imperfection on investment-cash flow sensitivity under the proxy

    of institutional ownership.

    4. Results and Discussion 4.1 Data Analysis

    Descriptive statistics, Correlation and Panel data techniques are utilized in this study to investigate the

    relationship b the between the set of relationship i.e. cash flow and Tobin’s Q on investment under imperfect capital

    market.

    4.2 Descriptive Statistics and Panel Data Dnalysis

    In current study descriptive statistics provides information about average, standard deviation and the minimum and maximum amount of every study set of relationship and predictors. These longitudinal data have

    interpretation on the same units in a number of dissimilar time periods. A panel data has numerous firms; every one

    of them has repeated calculations at dissimilar time span. It may have individual (group) effect, time effect or both,

    after that it can be further analyzed by common and fixed effect models. Theses panel data analyses are conducted to

    analyze the individual and the overall impact of all the predictors on the study variables. In present study balanced

    panel is used in order to make calculations of all firms for all periods.

    Table 1: Descriptive Statistics

    Variables N Minimum Maximum Mean Std. Deviation

    Investment 1370 -0.0669 2.1659 0.6818 0.5490

    Cash Flow 1370 -0.8680 5.2140 0.4321 0.8436

    Tobin`s Q 1370 0.2738 2.4794 1.0808 0.3283

    The Table 1 contains of 1370 observations relating to the mean amount of Investment is 0.6818 and -0.0669, 2.1659 as lowest and highest amount of investment respectively the standard deviation of investment is 0.5490. The

    average amount of cash flow is 0.4321 with standard deviation of 0.8436 and -0.8680, 5.2140 as a lowest and highest

    amount of cash flow. The average value of Tobin’s Q is 1.0808 and 0.2738, 2.4794 association as a lowest and highest

    value of Tobin’s Q and the standard deviation of Tobin’s Q is 0.3283.

    4.3 Correlation Analysis

    In order to investigate the relationship between cash flow, Tobin’s Q and investment correlation matrix is

    used as a statistical tool.

    Table 2: Correlation Matrix

    Variables Investment Cash Flow Tobin’s Q

    Investment 1.000

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    Cash Flow 0.3528

    (0.000)

    1.000

    Tobin’s Q 0.1722

    (0.000)

    0.2417

    (0.000)

    1.000

    From Table 2 shows the degree of relationship among investment and cash flow is very much interrelated

    with investment and this correlation is positive and significant 0.3528. The correlation between investment and

    Tobin’s Q is 0.1722 which is also positive. A number of investigators in this field highlighted that when the level of

    Co-relation among the variables is so high. Anderson et al. (1999) showed when dependency level among variables

    is 0.70 and 0.80. At the same time Anderson et al. (1999) highlighted the cause of multicollinearity among

    independent variables when the dependency level between these variables is excess from 0.8.

    Table 3: Model 1

    𝑰𝒊𝒕 = 𝜶𝒊 + 𝜷𝟏𝑸

    𝒊𝒕−𝟏 +𝜷

    𝟐𝑪𝑭

    𝒊𝒕 +𝜺𝒊𝒕

    Variable Co-efficient t-value P-value

    Tobin`s Q 0.1742 3.6443 0.0002

    Cash flow 0.3269 4.8002 0.0000

    Constant 0.1924 3.6928 0.0001

    R2 0.3625 F-stat 20.5135

    Adjusted R2 0.3413 Probability (F-stat) 0.0000

    In the Table 3 the results of fixed effect model relating to 1370 observations listed on Karachi Stock Exchange

    during the period 2005 to 2014 for a period of 10 years shows that 0.1924 is the least value of investment that remains

    at Karachi Stock Exchange all time when all independent variables considered to be zero and such value is significant because the P-value of constant is less than α =0.05. The co-efficient of cash flow of all firms stated 0.3269 positive

    relationship with investment that shows one unit’s variation in cash brings 0.3269 unit’s variation in average

    investment) and this association is momentous because its P-value is less than α =0.05. At the same time the co-

    efficient of Tobin’s Q is 0.1742 which indicates positive relationship with investment that average one unit’s variation

    in Tobin’s Q brings 0.1742 unit’s variation in average investment and this association is also significant because its

    P-value is less than α =0.05. The value of R-square 0.3625 and Adjusted R-square 0.3413 respectively that shows

    36.25% change in average investment explained by cash flow and Tobin’s q and this shows strong impact on

    investment due to these three independent variables. F-statistics shows F (3, 1366) 20.5135 with a P value 0.0000

    which is less than α =0.05 shows significant and it is strong evidence of success of overall model. So, the relationship

    among the cash flow and investment for all firms is affirmative and momentous.

    Table 4: Model 2

    𝑰𝒊𝒕 = 𝜶𝒊 + 𝜷𝟏𝑸𝒊𝒕−𝟏 + 𝜷𝟐𝑪𝑭𝒊𝒕 ∗ 𝑰𝑶 + 𝜺𝒊𝒕

    Variable Co-efficient t-value P-value

    Tobin`s Q 0.3229 4.4744 0.0000

    CF*IO 0.4528 6.1872 0.0000

    Constant 0.4736 5.7267 0.0000

    R2 0.5625 F-statistics 24.345

    Adjusted R2 0. 5243 Prob (F-statistics) 0.0000

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    In the Table 4 the outcomes of 1370 observations related to listed firms of Karachi Stock Exchange. The time

    span from 2005 to 2014 for a period of 10 years shows that 0.4736 is the least value of investment that remains at Karachi Stock Exchange all time when all independent variables considered to be zero and such values strongly

    impacted due to value of P of minimum level of investment is below as compare to Alpha value which is 0.05. The

    Beta of cash flow internally generated funds with interaction of institutional ownership stated 0.4528 affirmative

    connection with level of investment that shows a single unit variation in cash funds effected 0.4528 unit’s variation in

    mean value of investment) and such dependency is prominent due to value of P is lower as compare to Alpha which

    is 0.05. The beta of Tobin’s Q shows a value of 0.3229 that indicates affirmative relation among the level of

    investment, the single unit variation of Tobin’s Q effects that 0.3229 unit’s variation in mean value of the level of

    investment and such interdependency is also prominent due to value of P is lower as compare to Alpha which is 0.05.

    The value of R2 0.5625 and Adjusted R2 0.5243 respectively that shows 56.25% change in mean value of the level of

    investment is being elaborated by the movement of cash fund and Tobin’s q and its explained a powerful impact on

    the level of investment effected by two independent variables. F-stat shows F (3, 1366) 24.3452 with a value of P is

    lower as compare to Alpha which is 0.05 shows prominent effect by stating strongly confirmation of success of complete model.

    Table 5: Model 3

    𝑰𝒊𝒕 = 𝜶𝒊 + 𝜷𝟏𝑸𝒊𝒕−𝟏 + 𝜷𝟐𝑪𝑭𝒊𝒕 ∗ 𝒔𝒊𝒛𝒆 + 𝜺𝒊𝒕

    Variable Co-efficient t-value P-value

    Tobin`s Q 0.2868 3.6632 0.0002

    CF*Size 0.4491 4.6744 0.0000

    Constant 0.3436 3.2323 0.0003

    R2 0.5325 F-statistics 21.7135

    Adjusted R2 0.5123 Prob(F-statistics) 0.0000

    In the above context Table 5 the outcomes of 1370 observations related to listed firms of Karachi Stock

    Exchange. The time span 2005 to 2014 for a period of 10 years shows that 0.3436 is the least value of investment that

    remains at Karachi Stock Exchange all time when all independent variables considered to be zero and such values

    strongly impacted due to value of P of minimum level of investment is below as compare to Alpha value which is 0.05. The Beta of cash flow internally generated funds with interaction size stated 0.44907 affirmative connection

    with level of investment that shows a single unit variation in cash funds effected 0.44907 unit’s variation in mean

    value of investment) and such dependency is prominent due to value of P is lower as compare to Alpha which is 0.05.

    The beta of Tobin’s Q shows a value of 0.28683 that indicates affirmative relation among the level of investment, the

    single unit variation of Tobin’s Q effects that 0.28683 unit’s variation in mean value of the level of investment and

    such interdependency is also prominent due to value of P is lower as compare to Alpha which is 0.05. The value of

    R2 0.5325 and Adjusted R2 0.5123 respectively that shows 53.25% change in mean value of the level of investment is

    being elaborated by the movement of cash fund and Tobin’s q and its explained a powerful impact on the level of

    investment effected by two independent variables. F-stat shows F (1, 1369) 24.345 with a value of P is lower as

    compare to Alpha which is 0.05 shows prominent effect by stating strongly confirmation of success of complete

    model.

    Table 6: Model 4

    𝑰𝒊𝒕 = 𝜶𝒊 + 𝜷𝟏𝑸𝒊𝒕−𝟏 + 𝜷𝟐𝑪𝑭𝒊𝒕 ∗ 𝑳𝒊𝒒 + 𝜺𝒊𝒕

    Variables Co-efficient t-value P-value

    Tobin`s Q 0.1552 3.7343 0.0002

    CF*liq 0.4299 5.6012 0.0000

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    Constant 0.2926 3.6303 0.0003

    R2 0.5382 F-statistics 21.856

    Adjusted R2 0.5161 Prob(F-statistics) 0.0000

    The Table 6 the outcomes of 1370 observations related to listed firms of Karachi Stock Exchange. Time

    period from 2005 to 2014 for a period of 10 years shows that 0.2926 is the least value of investment that remains at

    Karachi Stock Exchange all time when all independent variables considered to be zero and such values strongly

    impacted due to value of P of minimum level of investment is below as compare to Alpha value which is 0.05. The

    Beta of cash flow internally generated funds with interaction of liquidity stated 0.4299 affirmative connection with

    level of investment that shows a single unit variation in cash funds effected 0.4299481units variation in mean value

    of investment) and such dependency is prominent due to value of P is lower as compare to Alpha which is 0.05. The

    beta of Tobin’s Q shows a value of 0.1551 that indicates affirmative relation among the level of investment, the single

    unit variation of Tobin’s Q effects that 0.1552 unit’s variation in mean value of the level of investment and such

    interdependency is also prominent due to value of P is lower as compare to Alpha which is 0.05. The value of R2 0.5382 and Adjusted R2 0.5161 respectively that shows 53.82% change in mean value of the level of investment is

    being elaborated by the movement of cash funds and Tobin’s q and its explained a powerful impact on the level of

    investment effected by two independent variables. F-stat shows F (3, 1366) 21.856 with a value of P is lower as

    compare to Alpha which is 0.05 shows prominent effect by stating strongly confirmation of success of complete

    model.

    5. Conclusion and Recommendations The findings indicate that the association among the investment and internally generated funds is elevated in

    case of institutional ownership and such dependency is lesser in case of firm size and firm liquidity. The results of

    general model indicated that the that the dependency of investment on internally generated funds was lower as

    compared to the results of specific model in which firms facing the problem of capital market imperfections. The

    factors that create Capital market imperfections if reduced and as a result decreased the difference between the cost

    of internally generated funds and the amount from the outsider of firms, go in front to lesser dependency of investment

    on firms own sources. Findings confirm one fact that Pakistani firms are heavily dependent on cash for their investment

    and precautionary needs.

    5.1 Implications of the Study

    This perusal brought into prominence varied significant implications along with the fact that the corporate

    decision makers as well as makers of policy in Pakistan should acquire the result of this study, in order to have effective

    decisions.

    Strategic developer in Pakistan can implement the outcomes of this work to take efficient decisions. One thing is very apparent that the exploit of outcomes of present work in Karachi Stock Exchange (KSE) is extremely

    minute. This study will also supply with the assistance, needed to decide the amount of capital investment, available

    with cash, while the firms have the problem of capital market imperfections.

    At the same time, the corporate managers are in the need of information to make decisions regarding the

    rationing of capital.

    5.2 Limitations and Future Research Recommendations

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    This study has faced a limitation which is unavailability of even a single source in developing countries,

    which can be a root of information. Along with it, in this study the influence of age, energy disaster, managerial

    diplomacy, and asymmetric information, government taxes on earning and in the long run on investment is excluded and researcher of the future can increase the value of financial market by joining these set of relationship. In addition

    to it, a substitute method to take into custody the investment opportunities Euler equation can be used instead of

    Tobin’s Q. Future researchers may take into consideration the two different sectors of Pakistani listed financial and

    non-financial firm`s additions further more comparison should be made to Pakistani financial firms with others Asian

    countries manufacturing firms can also be made in future. So, leave that study for future researchers. Future researcher

    may check the impact of capital market imperfection on firm performance, capital structure, dividend payout ratio and

    impact of capital market imperfection on working capital management. In addition, different set of relationship can

    be used to capture the impact of capital market imperfection such as amount of debt, age of firm and return of equity

    so leave that study for future researchers.

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